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Crowd dynamics.. Volume 4,. Analytics and human factors in crowd modeling

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Crowd dynamics./ edited by Nicola Bellomo, Livio Gibelli.
其他題名:	Analytics and human factors in crowd modeling
其他作者:	Bellomo, N.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	ix, 246 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Behavioral Human Crowds and Society (Gibelli) -- The mathematical theory of Hughes' model: a survey of results (Rosini) -- Time-continuous microscopic pedestrian models: an overview (Totzeck) -- Empirical investigations on the role of psychological factors in pedestrian route choice (Tong) -- Social human collective decision-making (Melnik) -- Single-file pedestrian dynamics: a review of agent-following models (Schadschneider) -- State-of-the-art passengers survey examining passengers' crowd behavior in emergencies at train stations (Shiwakoti) -- On a kinetic modeling of crowd dynamics with several interacting groups (Liao) -- Coupling pedestrian flow and disease contagion models (Klar)
Contained By:	Springer Nature eBook
標題:	Human engineering. -
電子資源:	https://doi.org/10.1007/978-3-031-46359-4
ISBN:	9783031463594

Crowd dynamics.. Volume 4,. Analytics and human factors in crowd modeling
Crowd dynamics.Volume 4,Analytics and human factors in crowd modeling[electronic resource] /Analytics and human factors in crowd modelingedited by Nicola Bellomo, Livio Gibelli. - Cham :Springer International Publishing :2023. - ix, 246 p. :ill. (chiefly color), digital ;24 cm. - Modeling and simulation in science, engineering and technology,2164-3725. - Modeling and simulation in science, engineering and technology..

Behavioral Human Crowds and Society (Gibelli) -- The mathematical theory of Hughes' model: a survey of results (Rosini) -- Time-continuous microscopic pedestrian models: an overview (Totzeck) -- Empirical investigations on the role of psychological factors in pedestrian route choice (Tong) -- Social human collective decision-making (Melnik) -- Single-file pedestrian dynamics: a review of agent-following models (Schadschneider) -- State-of-the-art passengers survey examining passengers' crowd behavior in emergencies at train stations (Shiwakoti) -- On a kinetic modeling of crowd dynamics with several interacting groups (Liao) -- Coupling pedestrian flow and disease contagion models (Klar)

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. The volume begins with an overview of analytical problems related to crowd modeling. Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior - such as emotions, communication, and decision-making processes - in order to create reliable models. Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease. Crowd Dynamics, Volume 4 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.

ISBN: 9783031463594

Standard No.: 10.1007/978-3-031-46359-4doiSubjects--Topical Terms:

522813
Human engineering.

LC Class. No.: HM1033

Dewey Class. No.: 620.86

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520 $a This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. The volume begins with an overview of analytical problems related to crowd modeling. Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior - such as emotions, communication, and decision-making processes - in order to create reliable models. Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease. Crowd Dynamics, Volume 4 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.
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